Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Infinite-Labs-AI/infinite-skills --skill positioninggit clone --depth 1 https://github.com/Infinite-Labs-AI/infinite-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/infinite-labs-ai/infinite-skills/positioning)<a href="https://agentmods.dev/skills/infinite-labs-ai/infinite-skills/positioning"><img src="https://agentmods.dev/badge/skills/infinite-labs-ai/infinite-skills/positioning/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/infinite-labs-ai/infinite-skills/positioning"><img src="https://agentmods.dev/badge/skills/infinite-labs-ai/infinite-skills/positioning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00034 | $0.00481 |
| Opus 5 | $0.00017 | $0.00241 |
| Sonnet 5 | $0.00007 | $0.00096 |
| Haiku 4.5 | $0.00003 | $0.00048 |
Grade A, and why
positioning scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Positioning
Find a clear position: who this is for, what problem it owns, and why it is different.
Gather Context
Read existing product and market material first. If essential context is missing, ask for:
- Product capability and strongest current use case.
- Best customer or desired first customer.
- Main alternatives and the status quo.
- Proof already available.
- Business constraint: price point, sales motion, geography, compliance, founder appetite.
Diagnose The Current Position
Name the current position in one sentence. Then test it:
- Is the customer specific enough to find?
- Is the pain urgent enough to act on?
- Is the alternative named?
- Is the product’s advantage provable?
- Would competitors be happy to say the same thing?
If the current angle is too broad, split it into smaller positioning options.
Create Positioning Options
Create 3-5 positioning options. Each option must include:
- Target: a reachable customer group.
- Moment: when the need becomes active.
- Enemy: the current way they solve it.
- Advantage: what this product does better or differently.
- Proof: what can make the claim credible.
- Tradeoff: who this position excludes.
Prefer options based on behavior, urgency, data access, workflow ownership, distribution access, or regulatory pressure.
Pick The Best Position
Score each option from 1-5 on:
- Reachability.
- Pain intensity.
- Competitive contrast.
- Proof strength.
- Revenue potential.
- Speed to test.
Recommend one lead position and one backup position. Do not pick a position only because it sounds large.
Output
Current position:
[one sentence]
Positioning options:
| Position | Target | Moment | Enemy | Advantage | Proof | Tradeoff | Score |
Recommended position:
[specific choice]
Core message:
[category or frame] for [customer] when [moment], replacing [alternative] with [advantage].
Why this wins first:
- [reason]
- [reason]
- [reason]
30-day validation:
1. [test]
2. [test]
3. [test]
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 83 lines · 34 tokens per session scan A 89d4cb39f2ee
positioning is a skill published in the GitHub repository Infinite-Labs-AI/infinite-skills (44 stars, last pushed 13d ago), licensed MIT. It adds 34 tokens to every session and 481 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
marketing-growth
Use when planning product marketing, writing marketing copy, designing pricing tiers, building programmatic SEO pages, optimizing on-page SEO, planning social media calendars, running Twitter automation, conducting Google Trends research, brainstorming brand/domain names, or producing YouTube videos.
generate-social-media-captions
Draft platform-appropriate social captions using a specific audience, message, voice, and call to action.
ad-creative-agent
A guide for editing one user-supplied photo, such as changing its background, removing objects, retouching it, or applying a visual style.
media-narrative-analysis
An article and media-message analysis skill for examining news reports, public-relations copy, competitor communications, policy notices, and social-media posts.
follow-loop
A manually triggered research workflow that gathers evidence about selected technology and luxury topics, then sends verified findings to long-term records.
spoken-content-extractor
A skill for extracting and reusing content from podcasts, livestreams, talks, interviews, and their recordings or transcripts. It can turn spoken material into organised written resources.